| Paper Abstract and Keywords |
| Presentation |
2021-10-14 14:30
A Consideration of Seismic Detection with Distributed Acoustic Sensor using Image Processing and Recognition Takahiro Arioka, Kentaro Nakamura (Tokyo Tech) OFT2021-42 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Distributed acoustic sensor (DAS) observes the intensity and phase of Rayleigh backscattered light to measure the strain caused along with the optical fiber at intervals of several meters. In this article, we analyzed DAS measurement data performed from November 8 to December 2, 2019, using the dark fiber of the Sanriku offshore optical communication cable for the submarine earthquake and tsunami observation system owned by the Earthquake Research Institute, the University of Tokyo for seismic detection. We utilized an image processing (Hough transform) and recognition (Convolutional Neural Network) method using images obtained by converting the vibration data into a frequency-wavenumber spectrum. The accuracy was 94.7%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Fiber Sensing / Distributed Acoustic Sensing / Seismic Observation / Hough transform / Convolutional Neural Network / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 199, OFT2021-42, pp. 79-84, Oct. 2021. |
| Paper # |
OFT2021-42 |
| Date of Issue |
2021-10-07 (OFT) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
OFT2021-42 |
| Conference Information |
| Committee |
OFT |
| Conference Date |
2021-10-14 - 2021-10-15 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
OFT |
| Conference Code |
2021-10-OFT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Consideration of Seismic Detection with Distributed Acoustic Sensor using Image Processing and Recognition |
| Sub Title (in English) |
|
| Keyword(1) |
Fiber Sensing |
| Keyword(2) |
Distributed Acoustic Sensing |
| Keyword(3) |
Seismic Observation |
| Keyword(4) |
Hough transform |
| Keyword(5) |
Convolutional Neural Network |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Takahiro Arioka |
| 1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name |
Kentaro Nakamura |
| 2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
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| Speaker |
Author-1 |
| Date Time |
2021-10-14 14:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
OFT |
| Paper # |
OFT2021-42 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.199 |
| Page |
pp.79-84 |
| #Pages |
6 |
| Date of Issue |
2021-10-07 (OFT) |